EMC EMC Specialist E20-026 Questions & Answers

• Question 61:

  In the MapReduce framework, what is the purpose of the Map Function?

  A. It processes the input and generates key-value pairs

  B. It collects the output of the Reduce function

  C. It sorts the results of the Reduce function

  D. It breaks the input into smaller components and distributes to other nodes in the cluster

  Correct Answer: A

• Question 62:

  You have completed your model and are handing it off to be deployed in production. What should you deliver to the production team, along with your commented code?

  A. The production team needs to understand how your model will interact with the processes they already support. Give them documentation on expected model inputs and outputs,and guidance on error-handling.

  B. The production team are technical,and they need to understand how the processes that they support work,so give them the same presentation that you prepared for the analysts.

  C. The production team supports the processes that run the organization,and they need context to understand how your model interacts with the processes they already support. Give them the same presentation that you prepared for the project sponsor.

  D. The production team supports the processes that run the organization,and they need context to understand how your model interacts with the processes they already support. Give them the executive

  summary.

  Correct Answer: A

• Question 63:

  How are window functions different from regular aggregate functions?

  A. Rows retain their separate identities and the window function can access more than the current row.

  B. Rows are grouped into an output row and the window function can access more than the current row.

  C. Rows retain their separate identities and the window function can only access the current row.

  D. Rows are grouped into an output row and the window function can only access the current row.

  Correct Answer: A

• Question 64:

  Consider these itemsets:

  (hat, scarf, coat) (hat, scarf, coat, gloves)

  (hat, scarf, gloves)

  (hat, gloves)

  (scarf, coat, gloves)

  What is the confidence of the rule (hat, scarf) -> gloves?

  A. 66%

  B. 40%

  C. 50%

  D. 60%

  Correct Answer: A

• Question 65:

  Which word or phrase completes the statement? Structured data is to OLAP data as quasi-structured data is to____

  A. Clickstream data

  B. XML data

  C. Text documents

  D. Image files

  Correct Answer: A

• Question 66:

  What describes a true property of Logistic Regression method?

  A. It is robust with redundant variables and correlated variables.

  B. It handles missing values well.

  C. It works well with discrete variables that have many distinct values.

  D. It works well with variables that affect the outcome in a discontinuous way.

  Correct Answer: A

• Question 67:

  You have been assigned to do a study of the daily revenue effect of a pricing model of online transactions. You have tested all the theoretical models in the previous model planning stage, and all tests have yielded statistically insignificant results. What is your next step?

  A. Report that the results are insignificant,and reevaluate the original business question.

  B. Run all the models again against a larger sample,leveraging more historical data.

  C. Move forward on the model with the highest significance scores relative to the others.

  D. Modify samples used by the models and iterate until a significant result occurs.

  Correct Answer: A

• Question 68:

  A data scientist is asked to implement an article recommendation feature for an on-line magazine. The

  magazine does not want to use client tracking technologies such as cookies or reading history. Therefore,

  only the style and subject matter of the current article is available for making recommendations. All of the

  magazine's articles are stored in a database in a format suitable for analytics.

  Which method should the data scientist try first?

  A. K Means Clustering

  B. Naive Bayesian

  C. Logistic Regression

  D. Association Rules

  Correct Answer: A

• Question 69:

  You are asked to create a model to predict the total number of monthly subscribers for a specific magazine. You are provided with 1 year's worth of subscription and payment data, user demographic data, and 10 years worth of content of the magazine (articles and pictures). Which algorithm is the most appropriate for building a predictive model for subscribers?

  A. Linear regression

  B. Logistic regression

  C. Decision trees

  D. TF-IDF

  Correct Answer: A

• Question 70:

  Your customer provided you with 2, 000 unlabeled records and asked you to separate them into three groups. What is the correct analytical method to use?

  A. K-means clustering

  B. Linear regression

  C. Naive Bayesian classification

  D. Logistic regression

  Correct Answer: A